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Bimal Bhattarai

Bimal Bhattarai

PhD Research Fellow

Department of Information and Communication Technology >

 

+47 37 23 33 56

Kontor:
A03207 ( Jon Lilletuns vei 9, Grimstad )
Kontortid:
8:00 am to 4:00 pm

I am currently a PhD candidate at the University of Agder (UiA). I work under the supervision of Professor Ole-Christoffer Granmo as a part of the Center for Artificial Intelligence Research (CAIR). I received a MSc in Information and Communication from Chosun University, South Korea. My research is focused primarily on applications of Artificial Intelligence (AI) and Deep Learning in indoor navigation and chatbots. Specifically, I am working with the CAIR team to design a chatbot models using the Tsetlin Machine.

Forskning

Deep learning, Machine Learning, Tsetlin Machine, Indoor Navigation

Arbeidserfaring

Research Assistant, Chosun university 2017-2019) 

BSS Engineer at ZTE Corporation, Nepal  (2016-2017)

Internship at ZTE Corporation, Nepal  (2016)

Utvalgte publikasjoner

B. Bhattarai, R. K. Yadav, H. Gang and J. Pyun, "Geomagnetic Field Based Indoor Landmark Classification Using Deep Learning," in IEEE Access, vol. 7, pp. 33943-33956, 2019. doi: 10.1109/ACCESS.2019.2902573

R. K. Yadav, B. Bhattarai, H. Gang and J. Pyun, "Trusted K Nearest Bayesian Estimation for Indoor Positioning System," in IEEE Access, vol. 7, pp. 51484-51498, 2019. doi: 10.1109/ACCESS.2019.2910314

Bimal Bhattarai, Ashok Subedi, N. Krishna Chaitanya. Channel Sensing in Cognitive Radio by Using MATLAB. The IUP Journal of Telecommunications, Vol. VII, No. 4, November 2015, pp. 16-27

Bhattarai, B.; Hwang, S.-S.; Pyun, J.-Y. “An Efficient Geomagnetic Indoor Positioning System Using Smartphones.” The 3rd International Conference on Next Generation Computing (ICNGC2017b), Korea, December 2017

Bhattarai, B.; Gang, H.-S.; Pyun, J.-Y. “Deep Neural Network Architecture for Geomagnetic based Indoor Positioning System,” Korea Telecom Society 2019 Winter Conference Proceedings, Korea, January 2019

Vitenskapelige publikasjoner

  • Bhattarai, Bimal; Saha, Rupsa; Granmo, Ole-Christoffer; Zadorozhny, Vladimir; Xu, Jiawei (2023). A Logic-Based Explainable Framework for Relation Classification of Human Rights Violations. CEUR Workshop Proceedings. ISSN: 1613-0073. 3464s 14 - 21.
  • Bhattarai, Bimal; Granmo, Ole-Christoffer; Lei, Jiao (2023). An Interpretable Knowledge Representation Framework for Natural Language Processing with Cross-Domain Application. Advances in Information Retrieval. ECIR 2023. ISBN: 978-3-031-28244-7. Springer. Chapter. s 167 - 181.
  • Abeyrathna, Kuruge Darshana; Abouzeid, Ahmed Abdulrahem Othman; Bhattarai, Bimal; Giri, Charul; Glimsdal, Sondre; Granmo, Ole-Christoffer; Lei, Jiao; Saha, Rupsa; Sharma, Jivitesh; Tunheim, Svein Anders; Zhang, Xuan (2023). Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Size. Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence. ISBN: 978-1-956792-03-4. AAAI Press. Chapter. s 3395 - 3403.
  • Bhattarai, Bimal; Granmo, Ole-Christoffer; Lei, Jiao; Andersen, Per-Arne; Tunheim, Svein Anders; Shafik, Rishad Ahmed; Yakovlev, Alexandre (2023). Contracting Tsetlin Machine with Absorbing Automata. 2023 International Symposium on the Tsetlin Machine (ISTM). ISBN: 979-8-3503-4477-6. IEEE conference proceedings. Chapter.
  • Przybysz, Emilia Katarzyna; Bhattarai, Bimal; Persia, Cosimo Damiano; Ozaki, Ana; Granmo, Ole-Christoffer; Sharma, Jivitesh (2023). Verifying Properties of Tsetlin Machines. 2023 International Symposium on the Tsetlin Machine (ISTM). ISBN: 979-8-3503-4477-6. IEEE conference proceedings. Chapter.
  • Jenul, Anna Selina; Bhattarai, Bimal; Liland, Kristian Hovde; Lei, Jiao; Schrunner, Stefan; Futsæther, Cecilia Marie; Granmo, Ole-Christoffer; Tomic, Oliver (2022). Component Based Pre-filtering of Noisy Data for Improved Tsetlin Machine Modelling. 2022 International Symposium on the Tsetlin Machine (ISTM 2022). ISBN: 978-1-6654-7116-9. IEEE conference proceedings. Chapter. s 57 - 64.
  • Bhattarai, Bimal; Granmo, Ole-Christoffer; Lei, Jiao (2022). ConvTextTM: An Explainable Convolutional Tsetlin Machine Framework for Text Classification. Proceedings of the Thirteenth Language Resources and Evaluation Conference. ISBN: 979-10-95546-72-6. European Language Resources Association. Chapter. s 3761 - 3770.
  • Bhattarai, Bimal; Granmo, Ole-Christoffer; Lei, Jiao (2022). Explainable Tsetlin Machine Framework for Fake News Detection with Credibility Score Assessment. Proceedings of the Thirteenth Language Resources and Evaluation Conference. ISBN: 979-10-95546-72-6. European Language Resources Association. Chapter. s 4894 - 4903.
  • Glimsdal, Sondre; Saha, Rupsa; Bhattarai, Bimal; Giri, Charul; Sharma, Jivitesh; Tunheim, Svein Anders; Yadav, Rohan Kumar (2022). Focused Negative Sampling for Increased Discriminative Power in Tsetlin Machines. 2022 International Symposium on the Tsetlin Machine (ISTM 2022). ISBN: 978-1-6654-7116-9. IEEE conference proceedings. Chapter. s 73 - 80.
  • Bhattarai, Bimal; Granmo, Ole-Christoffer; Lei, Jiao (2022). Word-level human interpretable scoring mechanism for novel text detection using Tsetlin Machines. Applied intelligence (Boston). ISSN: 0924-669X. doi:10.1007/s10489-022-03281-1.
  • Bhattarai, Bimal; Granmo, Ole-Christoffer; Jiao, Lei (2021). A Tsetlin Machine Framework for Universal Outlier and Novelty Detection. Proceedings of the 13th International Conference on Agents and Artificial Intelligence (ICAART 2021). ISBN: 978-989-758-484-8. SciTePress.
  • Abeyrathna, Kuruge Darshana; Bhattarai, Bimal; Goodwin, Morten; Gorji, Saeed Rahimi; Granmo, Ole-Christoffer; Lei, Jiao; Saha, Rupsa; Yadav, Rohan Kumar (2021). Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling. Proceedings of Machine Learning Research (PMLR). ISSN: 2640-3498.
  • Bhattarai, Bimal; Granmo, Ole-Christoffer; Jiao, Lei (2021). Measuring the Novelty of Natural Language Text using the Conjunctive Clauses of a Tsetlin Machine Text Classifier. Proceedings of the 13th International Conference on Agents and Artificial Intelligence (ICAART 2021). ISBN: 978-989-758-484-8. SciTePress. ICAART 2021. s 410 - 417.
  • Yadav, Rohan Kumar; Bhattarai, Bimal; Lei, Jiao; Goodwin, Morten; Granmo, Ole-Christoffer (2020). Indoor Space Classification Using Cascaded LSTM. IEEE Conference on Industrial Electronics and Applications. ISSN: 2158-2297. s 1110 - 1114. doi:10.1109/ICIEA48937.2020.9248347.
  • Bhattarai, Bimal; Yadav, Rohan Kumar; Gang, Hui-Seon; Pyun, Jae-Young (2019). Geomagnetic Field Based Indoor Landmark Classification Using Deep Learning. IEEE Access. ISSN: 2169-3536. doi:10.1109/ACCESS.2019.2902573.
  • Yadav, Rohan Kumar; Bhattarai, Bimal; Gang, Hui-Seon; Pyun, Jae-Young (2019). Trusted K Nearest Bayesian Estimation for Indoor Positioning System. IEEE Access. ISSN: 2169-3536. 7s 51484 - 51498. doi:10.1109/ACCESS.2019.2910314.
  • Przybysz, Emilia; Bhattarai, Bimal; Persia, Cosimo Damiano; Ozaki, Ana; Granmo, Ole-Christoffer; Sharma, Jivitesh (2023). Verifying Properties of Tsetlin Machines.

I sosiale medier

Sist endret: 20.09.2019 20:09